Device-based maneuver and activity state-based physiologic status monitoring

Abstract

Novel tools and techniques are provided for physiological monitoring. A method includes receiving, with a computing system, physiological data of a user, analyzing, with the computing system, the received physiological data of the user to identify at least one of one or more body states or one or more transitions between body states of the user, and determining, with the computing system, at least one physiological state of the user, based at least in part on an analysis of the identified at least one of the one or more body states or the one or more transitions between body states of the user. The method further includes sending, with the computing system and to a user device, the determined at least one physiological state of the user, and displaying, on a display screen of the user device, the determined at least one physiological state of the user.

What is claimed is: 
     
       1. A method, comprising:
 monitoring one or more ambient environmental conditions near or around a user or patient; 
 receiving physiological data of the user or patient at a computer system, the physiological data comprising photoplethysmograph (PPG) waveform data; 
 analyzing the PPG waveform data against a compensatory reserve index model of PPG waveform data representing a combination of a plurality of postures and motions of the user or patient; 
 determining at least one physiological state of the user or patient, based at least in part on the analysis of the PPG waveform data of the user or patient, using the computer system, wherein the at least one physiological state of the user or patient comprises a hydration state of the user or patient; 
 sending the determined at least one physiological state of the user or patient from the computer system to a user or patient device; and 
 outputting one or more display signals from the computer system to the user or patient device for displaying on a display screen of the user or patient devices the determined at least one physiological state of the user. 
 
     
     
       2. The method of  claim 1 , further comprising:
 monitoring the physiological data of the user or patient using one or more sensors that sense the PPG waveform data and at least one of the plurality of postures or motions of the user or patient; and 
 sending the monitored physiological data including the monitored plurality of postures or the plurality of motions from the one or more sensors to the computing system. 
 
     
     
       3. The method of  claim 2 , further comprising:
 monitoring the at least one physiological state of the user or patient using the one or more sensors, wherein each of the one or more sensors one or more sensors measuring hemodynamic status of the user; one or more sensors measuring closeness of hemodynamic collapse due to at least one of heat stress, hydration, or central fluid loss; one or more sensors that continuously capture one or more pulsatile components of a cardiac cycle of the user or patient; one or more electrocardiograph sensors; or one or more respiration rate sensors; wherein the one or more sensors that continuously capture the one or more pulsatile components of the cardiac cycle of the user or patient comprises at least one of radio frequency (“RF”) sensor, a PPG, a volume clamp, or a continuous blood pressure (“BP”) sensor; 
 monitoring the one or more ambient environmental conditions using one or more additional sensors, wherein the one or more ambient environmental conditions each comprises one of moisture, humidity, rainfall, temperature, atmospheric pressure, air quality, windspeed, windchill, or altitude; 
 receiving the monitored physiological state of the user or patient at the computing system; and 
 receiving the monitored one or more ambient environmental conditions at the computing system; 
 wherein determining the at least one physiological state of the user or patient using the computing system comprises determining at least one physiological state of the user or patient based at least in part on the identified one or more ambient environmental conditions. 
 
     
     
       4. The method of  claim 1 , wherein the at least one physiological state of the user or patient comprises at least one of a dehydration state of the user or patient, a fitness state of the user or patient, a health state of the user or patient, an exertion readiness state of the user or patient, a fatigue state of the user or patient, an alertness level of the user or patient, an altitude sickness state of the user or patient, a level of tolerance to heat of the user or patient, a level of tolerance to cold of the user or patient, a level of tolerance to other environmental conditions of the user or patient, a level of tolerance to liquid limitations of the user or patient, a level of tolerance to blood loss of the user or patient, or one or more states of illness of the user or patient. 
     
     
       5. The method of  claim 1 , further comprising:
 storing a log including one or more recordings of previous commands issued by the user or patient in the user or patient device, respectively, the log including a recording of the commands; 
 wherein when the commands comprise verbal commands and the method further comprises determining an irregular speech pattern in the verbal command issued by the user or patient using the computing system; 
 wherein the at least one physiological state of the user or patient is further determined based at least in part on determination of a presence of the irregular speech pattern. 
 
     
     
       6. The method of  claim 5 , further comprising:
 monitoring physiological data indicative of sodium content of the user's or patient's perspiration using one or more first sensors; 
 wherein the at least one physiological state of the user or patient comprises hyponatremia or hypernatremia, wherein the method further comprises determining whether the user or patient is in the state of hyponatremia or hypernatremia using the computer system based, at least in part, on the physiological data indicative of sodium content of the user's or patient's perspiration. 
 
     
     
       7. The method of  claim 1  further comprising:
 generating motion data indicative of user or patient movement using one or more of the sensors; 
 sending the motion data from the one or more sensors to the computing system; and 
 mitigating motion artifacts from the PPG waveform data of the physiological data using the computing system, based, at least in part, on the motion data. 
 
     
     
       8. The method as in  claim 1  wherein the physiological data further comprises electrocardiograph data. 
     
     
       9. An apparatus, comprising:
 at least one processor; and 
 a non-transitory computer readable medium communicatively coupled to the at least one processor, the non-transitory computer readable medium having stored thereon computer software comprising a set of instructions that, when executed by the at least one processor, causes the apparatus to: 
 monitor one or more ambient environmental conditions near or around a user or patient; 
 receive physiological data of the user or patient, the physiological data comprising photoplethysmograph (PPG) waveform data; 
 analyzing the PPG waveform data against a compensatory reserve index model of PPG waveform data representing a combination of a plurality of postures and motions of the user or patient; 
 determine at least one physiological state of the user or patient, based at least in part on the analysis of the PPG waveform data, wherein the at least one physiological state of the user or patient comprises a hydration state of the user or patient; 
 send the determined at least one physiological state of the user or patient to a user or patient device; and 
 output one or more display signals to a user or patient device for displaying the determined at least one physiological state of the user. 
 
     
     
       10. The apparatus of  claim 9 , wherein the set of instructions are further executable by the at least one processor to:
 monitor the physiological data of the user or patient and at least one of the plurality of postures or one the plurality of motions of the user or patient using one or more sensors; and 
 send the monitored physiological data and the data regarding the monitored plurality of postures or the plurality of motions of the user or patient from the one or more sensors to the computing systems. 
 
     
     
       11. The apparatus as in  claim 9  wherein the physiological data further comprises electrocardiograph data. 
     
     
       12. A system, comprising:
 one or more sensors, wherein the one or more sensors are configured to monitor at least physiological data of a user or patient, the physiological data comprising photoplethysmograph (PPG) waveform data and send the physiological data to a computer system, and one or more additional sensors to monitor one or more ambient environmental conditions around or near the user or patient, wherein the computing system comprises: 
 at least one first processor; and 
 a first non-transitory computer readable medium communicatively coupled to the at least one first processor, the first non-transitory computer readable medium having stored thereon computer software comprising a first set of instructions that, when executed by the at least one first processor, causes the computing system to: 
 receive the physiological data of a user or patient; 
 analyze the PPG waveform data against a compensatory reserve index model of PPG waveform data representing a combination of a plurality of postures and motions of the user or patient; 
 determine at least one physiological state of the user or patient, based at least in part on the analysis of the PPG waveform data and at least one of one or more postures or one or more motions of the user or patient, wherein the at least one physiological state of the user or patient comprises a hydration state of the user or patient; 
 send the determined at least one physiological state of the user or patient to a user or patient device; and 
 display the determined at least one physiological state of the user or patient on a display screen of the user or patient device, respectively. 
 
     
     
       13. The system of  claim 12 , wherein the one or more sensors are each encapsulated within a sensor device, wherein each sensor device comprises one of a patch-based sensor device, a wrist strap-based sensor device, an arm strap-based sensor device, a head band-based sensor device, a belt-based sensor device, a leg strap-based sensor device, an ankle strap-based sensor device, or a shoe strap-based sensor device. 
     
     
       14. The system of  claim 12 , further comprising:
 the user or patient device, comprising: 
 a user interface; 
 at least one second processor; and 
 a second non-transitory computer readable medium communicatively coupled to the at least one second processor, the second non-transitory computer readable medium having stored thereon computer software comprising a second set of instructions that, when executed by the at least one second processor, causes the user or patient device to: 
 receive at the user interface a command to initiate sensor recording; and 
 send the received command to initiate sensor recording to the one or more sensors, wherein, in response to receiving the command to initiate sensor recording, the one or more sensors initiate sensor recording to monitor at least one of the plurality of postures or one the plurality of motions of the user or patient; 
 wherein the first set of instructions further comprise instructions, when executed by the at least one first processor, further causes the computing system to store an association between the initiated sensor recording and the PPG waveform data and the one or more postures or one or more motions of the user or patient in a data store corresponding to the received command, 
 wherein the one or more sensors send data regarding the monitored at least one of the one or more postures or one or more motions of the user or patient to the computing system. 
 
     
     
       15. The system of  claim 12  wherein the one or more sensors comprises one or more sensors to measure a hemodynamic status of the user or patient; one or more sensors to measure closeness of hemodynamic collapse due to at least one of heat stress, hydration, or central fluid loss; one or more sensors to continuously capture one or more pulsatile components of a cardiac cycle of the user or patient; one or more electrocardiograph sensors; or one or more respiration rate sensors; wherein the one or more sensors that continuously capture the one or more pulsatile components of the cardiac cycle of the user or patient comprises at least one of radio frequency (“RF”) sensor, a PPG, a volume clamp, or a continuous blood pressure (“BP”) sensor;
 wherein the first set of executable instructions further comprise instructions when executed by the at least one first processor, further causes the computing system to receive the monitored physiological state of the user or patient. 
 
     
     
       16. The system of  claim 12 , wherein the first set of instructions are further executable by the at least one processor to:
 receive a log including one or more recordings of previous commands issued by the user or patient from a user or patient device, the commands comprising verbal commands and the log comprising a recording of the verbal command; 
 determine a presence of an irregular speech pattern in the verbal commands issued by the user; 
 wherein the at least one physiological state of the user or patient is determined based at least in part on determination of the presence of the irregular speech pattern. 
 
     
     
       17. The system of  claim 12 , wherein the first set of instructions are further executable by the at least one processor to:
 monitor physiological data indicative of sodium content of the user's or patient's perspiration using the one or more first sensors; and 
 wherein the at least one physiological state of the user or patient comprises hyponatremia or hypernatremia, wherein the first set of executable instructions yet further comprises instructions to determine whether the user or patient is in the physiological state of hyponatremia or hypernatremia based, at least in part, on the physiological data indicative of sodium content of the user's or patient's perspiration. 
 
     
     
       18. The system as in  claim 12  wherein the physiological data further comprises electrocardiograph data.